Airline Operations Control: a new concept for operations recovery
Autor(a) principal: | |
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Data de Publicação: | 2011 |
Outros Autores: | |
Tipo de documento: | Livro |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | https://repositorio-aberto.up.pt/handle/10216/54256 |
Resumo: | The Airline Operations Control Centre (AOCC) of an Airline Company is the organization responsible for monitoring and solving operational problems. It includes teams of human experts specialized in solving problems related with aircraft, crew members and passengers, in a process called disruption management of operations recovery. In this chapter we propose a new concept fro disruption management in this domain. The organization of the AOCC is represented through a Multi-Agent System (MAS), in which the roles that correspond to the most repetitive tasks are performed by intelligent agents. Human experts represented by agents that are able to inteact with them, are also part of this AOCC-MAS. We show the architecture of our AOCC-MAS, including the main costs involved and details about how the system takes decisions. We tested the concept, using several real airline crew related problems and using four methods: human experts (traditional way), the AOCC-MAS with and without the use of quality-costs and, finally, the integrated approach presented in this chapter. Results are here presented and discussed. |
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Airline Operations Control: a new concept for operations recoveryInformática, Ciências da computação e da informaçãoInformatics, Computer and information sciencesThe Airline Operations Control Centre (AOCC) of an Airline Company is the organization responsible for monitoring and solving operational problems. It includes teams of human experts specialized in solving problems related with aircraft, crew members and passengers, in a process called disruption management of operations recovery. In this chapter we propose a new concept fro disruption management in this domain. The organization of the AOCC is represented through a Multi-Agent System (MAS), in which the roles that correspond to the most repetitive tasks are performed by intelligent agents. Human experts represented by agents that are able to inteact with them, are also part of this AOCC-MAS. We show the architecture of our AOCC-MAS, including the main costs involved and details about how the system takes decisions. We tested the concept, using several real airline crew related problems and using four methods: human experts (traditional way), the AOCC-MAS with and without the use of quality-costs and, finally, the integrated approach presented in this chapter. Results are here presented and discussed.20112011-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/bookapplication/pdfhttps://repositorio-aberto.up.pt/handle/10216/54256engAntónio J. M. CastroEugénio Oliveirainfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-29T15:29:18Zoai:repositorio-aberto.up.pt:10216/54256Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T00:24:46.339615Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Airline Operations Control: a new concept for operations recovery |
title |
Airline Operations Control: a new concept for operations recovery |
spellingShingle |
Airline Operations Control: a new concept for operations recovery António J. M. Castro Informática, Ciências da computação e da informação Informatics, Computer and information sciences |
title_short |
Airline Operations Control: a new concept for operations recovery |
title_full |
Airline Operations Control: a new concept for operations recovery |
title_fullStr |
Airline Operations Control: a new concept for operations recovery |
title_full_unstemmed |
Airline Operations Control: a new concept for operations recovery |
title_sort |
Airline Operations Control: a new concept for operations recovery |
author |
António J. M. Castro |
author_facet |
António J. M. Castro Eugénio Oliveira |
author_role |
author |
author2 |
Eugénio Oliveira |
author2_role |
author |
dc.contributor.author.fl_str_mv |
António J. M. Castro Eugénio Oliveira |
dc.subject.por.fl_str_mv |
Informática, Ciências da computação e da informação Informatics, Computer and information sciences |
topic |
Informática, Ciências da computação e da informação Informatics, Computer and information sciences |
description |
The Airline Operations Control Centre (AOCC) of an Airline Company is the organization responsible for monitoring and solving operational problems. It includes teams of human experts specialized in solving problems related with aircraft, crew members and passengers, in a process called disruption management of operations recovery. In this chapter we propose a new concept fro disruption management in this domain. The organization of the AOCC is represented through a Multi-Agent System (MAS), in which the roles that correspond to the most repetitive tasks are performed by intelligent agents. Human experts represented by agents that are able to inteact with them, are also part of this AOCC-MAS. We show the architecture of our AOCC-MAS, including the main costs involved and details about how the system takes decisions. We tested the concept, using several real airline crew related problems and using four methods: human experts (traditional way), the AOCC-MAS with and without the use of quality-costs and, finally, the integrated approach presented in this chapter. Results are here presented and discussed. |
publishDate |
2011 |
dc.date.none.fl_str_mv |
2011 2011-01-01T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/book |
format |
book |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://repositorio-aberto.up.pt/handle/10216/54256 |
url |
https://repositorio-aberto.up.pt/handle/10216/54256 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
|
_version_ |
1799136162478030849 |